Data Abstraction and Problem Solving With Java: Walls and Mirrors - Hardcover

Carrano, Frank M.; Prichard, Janet J.

Hardcover

ISBN 10: 0201702207 ISBN 13: 9780201702200

Verlag: Pearson, 2000

Inhaltsangabe

This book is based on the classic "Walls and Mirrors" approach used in the best-selling Data Abstraction and Problem Solving with C++, and is now updated to the Java programming language. It uses the running theme of "Walls and Mirrors" to help make clear the challenging concepts of recursion (the mirrors) and data abstraction (the walls). Authors Carrano and Prichard cover key object-oriented concepts, including encapsulation, inheritance, and polymorphism. However, the focus of the book remains on data abstraction.

Über diesen Titel

Über die Autorin bzw. den Autor

Frank M. Carrano is Associate Professor of Computer Science at the University of Rhode Island.

Janet J. Prichard is a is professor of computer science at East Carolina University. She received her Ph.D. from the University of Rhode Island. Her areas of interest include real-time semantic objects, relationships, and constraints.

0201702207AB04062001

Von der hinteren Coverseite

Data Abstraction and Problem Solving in C++, and is now updated to the Java programming language. It uses the running theme of "Walls and Mirrors" to help make clear the challenging concepts of recursion (the mirrors) and data abstraction (the walls). Authors Carrano and Prichard cover key object-oriented concepts, including encapsulation, inheritance, and polymorphism. However, the focus of the book remains on data abstraction instead of simply Java syntax.

Features:

• Provides a firm foundation in data abstraction (the walls), emphasizing the distinction between specification and implementation as the foundation for the object-oriented approach
• Offers extensive coverage of recursion (the mirrors) and uses the technique throughout many examples and exercises.
• Introduces analysis of algorithms and Big "O" notation.
• Provides an appendix covering basic Java syntax for those know a different language or who need a refresher
• Contains many pedagogical study aids such as programming pitfall warnings and self-tests with answers
• A proven approach, adapted from the best selling Data Abstraction and Problem Solving in C++

0201702207B04062001

Details zur Ausgabe

• Verlag: Pearson
• Erscheinungsdatum: 2000
• Sprache: Englisch
• ISBN 10: 0201702207
• ISBN 13: 9780201702200
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 806
• Kontakt zum Hersteller: Pearson; https://in.pearson.com/; ; via Lombardia 4; Arluno; Milano; 20004; Italien